DHS Comparative Reports No. 41
Kenya Quality Model for Health - Level 2 Facilities
The document provides quality standards for managing Type 1 diabetes in adults, emphasizing areas like structured education, continuous glucose monitoring (CGM), cardiovascular risk management, and diabetic foot assessment. It aims to improve care p
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rocesses, reduce complications, and enhance patient outcomes through evidence-based and patient-centered approaches. The guidelines also focus on supporting inpatient self-management and ensuring equality and accessibility in diabetes care.
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Kenya Quality Model for Health - Hospitals
The African Development Bank has launched a consultation process with health ministers and other partners as it develops a strategy to drive enhanced access to health services across Africa through 2030.
Input from ministers in the Bank’s 54 regional member countries, development partners and c
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ivil society is expected to strengthen the Bank’s Strategy for Quality Health Infrastructure in Africa (2021-2030). A robust scoping study titled “Good Health and Well-being” underpins the strategy.
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The Department of Health is committed to providing the best quality care to patients and users of health services, in order to meet their expectations and needs, and to improve service delivery.
The main purpose of the National Core Standards is t
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o:
• Develop a common definition of quality of care, which should be found in all health establishments in South Africa as a guide to the public and to managers and staff at all levels;
• Establish a benchmark against which health establishments can be assessed, gaps identified, strengths appraised; and
• Provide a national framework to certify health establishments as compliant with standards
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Policy
July 2012
Working Paper No. 3
Organizing and Delivering High Quality Care for Chronic Noncommunicable Diseases in the Americas
Over the past few decades and throughout the world, the landscape of adolescent health has been altered dramatically. Currently, the total population of adolescents between the ages of 10 and 19 years is 1.2 billion – the largest generation of young people in history. The vast majority of adolesce
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nts (85%) live in developing countries where, in many areas, they make up more than a third of the population. They face a variety of different experiences given the diverse political, economic, social and cultural realities within their communities. Although, for many, adolescence is a period of learning and building confidence in a nurturing environment, for others it is a period of heightened risk and complex challenges.
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Operational guidance for managing programme quality.
These guidelines are about implementing the programme-quality standards of the Core Humanitarian Standard in limited access humanitarian respons
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e. They have been developed using approaches and tools tested by Oxfam, other INGOs and the UN in Afghanistan, DRC, Iraq, Somalia, Syria and Yemen. The guidelines are an operational resource to help programme designers and decision makers deliver ‘good enough’ programme quality in limited access humanitarian response.
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2018
Vol.5 No.2:73
DOI: 10.21767/2254-9137.100092
Health Systems and Policy Research ISSN 2254-9137
Health systems in Latin America face many challenges in controlling the increasing burden of diabetes. Digital health interventions are a promise for the provision of care, especially in developing countries where mobile technology has a high penetration. This study evaluated the effectiveness of th
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e implementation of a Diabetes Program (DP) that included digital health interventions to improve the quality of care of persons with type 2 Diabetes (T2DM) in a vulnerable population attending the public primary care network.
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The approach is in line with two of the five objectives outlined in the Every Newborn Action Plan (ENAP): Strategic Objective 2 – Improve the quality of maternal and newborn care; and Strategic Objective 5 – Count every newborn through
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measurement, programme-tracking and accountability to generate data for decision-making and action.
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The Asthma Control Questionnaire (ACQ)1 was developed and validated to measure the primary clinical goal of asthma management as identified by international guidelines. They indicate that to achieve good control, treatment should minimise day and night time symptoms, activity limitation, airway narr
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owing and rescue bronchodilator use and thus reduce the risk of life-threatening exacerbations and long-term morbidity. The importance of including all aspects of control in the assessment of individual patients was emphasised by a recent factor analysis which showed that clinical asthma is composed of distinct components which are not closely correlated with each other.6 However, in some studies it may not be possible to collect airway calibre or short-acting β2-agonists data. Previous analysis of non-clinical trial data suggested that when ACQ scores are analysed as group data, the heterogeneity of the way in which individual patients present with inadequate control is lost in the estimation of the mean and the need to measure each individual component of asthma control may become unnecessary. In this analysis, ACQ data from a clinical trial was used to evaluate the measurement properties (reliability, responsiveness, validity and interpretability), of three shortened versions of the ACQ. In addition, we have examined whether the precision and accuracy of estimating the effect of the intervention on asthma control was maintained when the two questions concerning airway calibre and short-acting β2-agonists use were omitted from the trial analysis.
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Guide for coordinators and data collectors - The WHO Operational Package for Assessing, Monitoring and Evaluating Country Pharmaceutical Situations is intended as a useful tool for researchers, policy-makers, planners and others who need to use standardized
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measurement tools to gather data and other information. In addition, the operational package can be used by international agencies and donors, by professional groups and nongovernmental organizations (NGOs).
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The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff
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ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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Anaemia is a serious global public health problem that particularly affects young children, menstruating adolescent girls and women, and pregnant and postpartum women. It is a condition in which the number of red blood cells or the haemoglobin concentration within them is lower than normal, affectin
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g the blood’s ability to carry oxygen to the body’s tissues.
To reliably monitor the prevalence of anaemia at a population level, it is vital to measure the haemoglobin concentration in an accurate and precise way. In large-scale surveys, however, haemoglobin is most commonly measured using single-drop capillary blood specimens in point-of-care devices. Emerging evidence suggests that the use of single-drop capillary blood can introduce random and/or systematic errors, which may lead to inaccurate estimates, complicating effective anaemia programming.
This technical brief describes the current best practices for haemoglobin measurement, providing guidance to help plan or implement field surveys to assess anaemia at a population level. Continuing work to review emerging evidence is led by members of the WHO-UNICEF Technical Expert Advisory group on nutrition Monitoring (TEAM).
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